Proceedings PaperTechniques For Pseudo-Dc Restoration And Dynamic Range Enhancement Of Scanned Infrared Imagery
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This paper defines a system for enhancement of FLIR images, The algorithms presented are directed specifically toward the restoration of scanned infrared images and contrast enhancement for visual detection of targets. Image streaking is a problem common to AC coupled infrared scanners. Although it is not possible to uniquely restore an image degraded by this process, the algorithm attempts to reconstruct the most likely thermal scene. In essence, the pseudo-DC correction term is obtained from the line-to-line difference histogram. Since infrared imagery is limited in quality by photon shot-noise, the analysis emphasizes the algorithms performance in a highly noisy environment. For display purposes, the relatively large dynamic range signal at the sensor output should be simultaneously compressed and enhanced. A technique has been developed which accomplished dynamic range transformation while attempting to preserve several image properties crucial to visual recognition of targets. The algorithm exploits the range compression and automatic gain function of a global histogram modification, but does not ignore important spatial information.